Jonathon Phillips - Data Sets for Analyzing Face Recognition Performance of Humans and Algorithms @SacklerColloquia
Jonathon Phillips - Data Sets for Analyzing Face Recognition Performance of Humans and Algorithms  @SacklerColloquia
Uploaded March 2019 | Updated September 2026, 12 hours ago
Jonathon Phillips, National Institute of Standards and Technology, Data Sets for Analyzing Face Recognition Performance of Humans and Algorithms

This talk was presented during the National Academy of Sciences Arthur M. Sackler Colloquium: The Science of Deep Learning in Washington D.C. March 13-14, 2019.

Organized by: David Donoho, Maithra Raghu, Ali Rahimi, Ben Recht and Matan Gavish
Jonathon Phillips - Data Sets for Analyzing Face Recognition Performance of Humans and AlgorithmsTalia Konkle - Content channeling along the ventral streamDaniel Salzman: Neural Mechanisms that Underlie Interactions Between Emotion and Cognition14 Simon LevinKirsten M  Ellenbogen - Scaling up in communities through informal science education networksHow Arts, Crafts and Design Training Benefit STEMM Professionals - Robert Root-BernsteinWelcome - Marcia McNutt18 Kelsey JackRichard Andersen: Restoration of Motor Functions: Thought to Action25 Laura GrantArun Majumdar: Innovations to Accelerate the Clean Energy Transformation22 Solomon Hsiang
NAS Colloquia |

Jonathon Phillips - Data Sets for Analyzing Face Recognition Performance of Humans and Algorithms

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